TECHNOLOGY STACK:

• Oracle, Microsoft SQL Server, MySQL, MemSQL, PostgreSQL, SQLite
• ElasticSearch, Redis, Cassandra, MongoDB, Apache HBase, BoltDB
• Hadoop, Avro, Cassandra, HBase, Hive/Beeline, Pig, Spark, Zookeeper, Kafka, Mesos
• Deep Learning/Machine Learning Frameworks
• TensorFlow, Keras and Scikit - Learn
• Containerization
• Apache Mesos, DC/OS, Docker
• Message Brokers
• Kafka, rabbitmq
• GIT
• Gitolite, Gitlab, Github
• Languages
• Go Language, Python, Perl, PHP, Scala, Java, Javascript, C, C++, C#, LUA
• Linux Development Tools
• Bash, AWK, SED, Grep, GNU Parallel, etc.
• Web Application Development Tools
• Jquery, d3.js, dc.js, AngularJS, React.js, node.js, npm, express, SOAP, REST, AJAX, etc.
• CSS/HTML frameworks include SASS/SCSS/Compass, CSS2/CSS3 and HTML/HTML5
• Mockup and wire framing tools include Mockup Builder, Pencil, Adobe Creative Suite (Photoshop, Illustrator, etc.) as well as other collaborative UI tools.
• Vim, Eclipse, Netbeans, Visual Studio Code, Visual Studio
• MapServer, TileMill/Mapbox, OpenLayers, Google Maps, MapQuest OSM
• Experience in a collaborative team environment using Scrum Agile technologies
• Experienced with JIRA and Rally team tools
• Network Management Tools
• Snmp, telnet, ssh, netcat, etc.
• Other Items of Note
• Oracle
• Extensive experience with Oracle through 12c
• Knowledge of Oracle internals and Oracle tuning process, including internal architecture, memory structures, etc.
• Experience with Oracle RAC and Oracle Clustered databases
• Experience with Oracle developments tools including Oracle Spatial, Oracle XML, Oracle SQL and PL/SQL.
• SQL Server
• Extensive experience with SQL Server through since mid 1990’s
• Knowledge of SQL Server internals
• Experienced with SQL Server clusters, SQL Server Management Studio, SQL Server Integration Services (SSIS), Transact-SQL (T-SQL), SQL Server SA/DBA, Database Tuning, Application Tuning, Data Design And Normalization, Database Backup, Database Disaster Recovery, etc.

EXPERIENCE:

Confidential, Denver, CO

Software Architect, Big Data Architect, Infrastructure Architect

Responsibilities:

• Support CPE and CMTS network operations groups in DOCSIS 3 IPv4/IPv6 environment.
• Includes support for residential and commercial voice, video and high speed Internet.
• Requires interfacing and data collection with Cisco, ARRIS, 3COM, etc. CMTS’s, cable modems, network routers/switches, etc. via snmp, telnet and other network based tools.
• Hadoop (HDFS, YARN), ElasticSearch/Logstash/Kibana, Oracle, MySQL, SQL Server, Cassandra, HBase, MongoDB and Redis
• Avro, Kafka, Go, Java, Python, PHP, Perl, JavaScript, NodeJS, HTML5, Git
• Apache HTTP Server, nginx, Squid, Linux, Docker, Mesos, DC/OS, Kubernetes, Puppet
• Implemented Docker container based application architecture and Apache Mesos based DC/OS clustered data center
• Architecture and development of internal operations web-based data portal. This portal provides insight into a converged view of CMTS’s, cable modems and CPE equipment. It contains over 150 network management tools and graphical dashboard related tools that are used extensively by technical support groups, in-field technicians, customer support representatives and senior level management throughout the company. The portal typically experiences several hundred thousand hits per month and is considered a Severity One Outage when it is not available. Internal customers include CARE, Einstein, Head Waters, CPE, BU, Xfinity Home, technicians in the field, Metro E, Commercial Voice, Reliability Engineering/Voice, ANO, CORE as well as National.
• Implementation of data warehouse processing approximately one terabyte of data each day
• Architecture and development of a real-time streaming data cable modem-monitoring application. In this application over 40,000,000 Customer cable modems “call home” to provide CMTS’s with statistics regarding their health on a continuous basis. The CMTS’s forward this information out to the network via an Apache Kafka Avro real time data stream. This application monitors the incoming streaming cable modem data and consolidates and groups it on a real-time basis. Output includes real-time deep learning/machine learning analysis and evaluation of trending data. This output is forwarded via Kafka to various data stores, including Hadoop, Cassandra, Oracle and Redis. This data also support real-time graphing and presentation, Extensive use of concurrent/parallel processing programming and development tools and techniques used extensively throughout project. All components of project reside within Docker containers
• Architecture and development of a cable modem health state monitoring application that processes over 40,000,000 rows every ten minutes (this application which runs 24/7/365 effectively tracks over over 6,000,000,000 rows per day). The data is stored in an Oracle database as well as a Redis in-memory cluster. Monitoring results are presented graphically via a web-based application that uses a parallel processing implementation of node.js as well as extensive parallel processing at the Linux bash level. Application is used extensively throughout the company (up to and including senior executive level). Extensive use of concurrent/parallel processing programming and development tools and techniques used extensively throughout project. All components of project reside within Docker containers
• Architecture and development of the real time monitoring of cable modems as part of companywide “Prevent The Call” project. Purpose of project is to provide substantial improvement in customer experience on the network. This project includes real-time monitoring of all cable modem devices and CMTS’s on the network. When device anomalies are detected (i.e. lack of internet connectivity, inactive phone lines, performance related issues, etc.) they are automatically corrected using appropriate snmp calls. Extensive use of concurrent/parallel processing programming and development tools and techniques used extensively throughout project.
• System administrator responsibilities for over seventy Linux (Redhat 6.x, 7.x, Centos 6.x, 7.x, Oracle 6.x, 7.x, Ubuntu 14.x, 16.x) based servers, including a diversified mix of Dell and HP hardware platforms, an assortment of virtual platforms including VMWare and OpenStack and Amazon AWS server instances

Confidential, Denver, CO

Data Architect/Project Architect/Software Development/Project Management

Responsibilities:

• Architecture and development of data reconciliation solution to independently reconcile ETL data loaded by SAP Business Objects Data Services into an Oracle financial data warehouse containing several billion rows of data.
• Provided architectural and DBA support for this company’s Oracle RAC clustered database application. The Oracle cluster consisted of an Oracle RAC HA 24x7 instance running on an ASM and OCFS2 clustered file system with Data Guard
• Architecture and development of a sophisticated group of interrelated multi-terabyte Oracle snowflake based data warehouses to serve and market to an internal client base of over four million customers.
• Provided architectural proof of concept implementing big data technologies on its petabyte (1000 terabyte) sized data storage platforms.
• Provided enterprise level big data architectural guidance (including long-term data storage design and hardware configuration strategies) for a real-time clustered database energy/asset tracking and reporting system.

Confidential, Denver, CO

Data Architect/Project Architect

Responsibilities:

• Experience included business system architecture, long range planning, systems design, hardware configuration and design, capacity planning, application and database design and development, system and database security planning, security implementation and administration, database administration, system documentation and standards, application performance tuning, database performance tuning and knowledge transfer.
• Provided training for thousands of people in formal organized classroom settings and large scale conference settings on how to be database administrators, developers and designers. Have authored extensive courseware and training manuals to support these training events.